REDUNDANT JOIN ELIMINATION AND SUB-QUERY ELIMINATION USING SUBSUMPTION

    公开(公告)号:CA2374271A1

    公开(公告)日:2003-09-01

    申请号:CA2374271

    申请日:2002-03-01

    Applicant: IBM CANADA

    Abstract: A query rewrite optimization method for eliminating a redundant join and equivalent subquery in an SQL query before generation and selection of the optimal quer y execution plan. The method evaluates a query for a particular join of a first and second quantifier each ranging over the same table. A determination is made whether the row set produced relative to the second quantifier subsumes the row set produced relative to the first quantifier. The query ma y be reformed to eliminate the join and the second quantifier. A further determination of the removability of the second quantifier may be required such as by evaluating a of a cardinality constraint when query output cardinality is material.

    METHOD FOR RECOMMENDING INDEXES AND MATERIALIZED VIEWS FOR ADATABASE WORKLOAD

    公开(公告)号:CA2365692A1

    公开(公告)日:2002-12-21

    申请号:CA2365692

    申请日:2001-12-19

    Applicant: IBM

    Abstract: The invention herein provides method and apparatus, including software for determining a set of materialized views or indices of the contents or a subset of the contents of a database in a data processing system to be created for one or more users of the database. The method and apparatus provide method and means for evaluating a workload presented by a user to th e database; evaluating the data processing system characteristics; evaluating the databa se characteristics; and, using the above evaluations for recommending a set of suitable materialized views or indices to the user. Another aspect of the invention, which may be used for a workload presented by a user of a database in a data processing system, provides method and apparatus, including software for determining a set of materialized views or indices of the contents or a subset of the contents of the database, by: generating a plurality of materialized view candidates from evaluation of the workload, data processing system characteristics and database characteristics; estimating statistics for the materialized view candidates such as the numbe r of rows, row size, and column statistics; generating a plurality of potential index candidates by evaluating the workload, data processing system characteristics, database characteristics a nd the materialized view candidates; and, from the materialized view candidates and index candidates selecting a set of suitable materialized views and/or indices for submission to the user.

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